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Data Software Engineer

Technology
Undelucram.ro
acum 2 luniPână la 19.04.2026
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Descrierea postului

Undelucram.ro on behalf of:

EPAM Romania

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture.

Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are seeking a motivated Data Engineer with experience in modern data engineering and cloud-based data platforms, preferably on Azure. The role focuses on building, maintaining and optimizing data pipelines while working closely with senior engineers, architects and cross-functional teams.

Responsibilities

Develop and maintain data pipelines for ingestion, transformation and analytics

Implement data processing solutions using Python, PySpark and SparkSQL

Work with Azure Fabric components and contribute to Fabric-based data solutions

Support data storage and access using OneLake (Delta / OpenLake)

Assist in working with Cosmos DB (NoSQL API) under guidance

Follow established CI/CD practices and contribute to deployment pipelines

Support integration with Power BI and downstream analytics use cases

Collaborate with senior engineers, data scientists and product teams

Ensure data quality, performance and reliability of data workflows

Participate in Agile ceremonies and sprint delivery

Requirements

2+ years of experience in Data Engineering

Python (hands-on experience)

PySpark and SparkSQL (working knowledge)

Experience or exposure to Azure Fabric or similar Azure data services

Familiarity with OneLake / Delta Lake concepts

Basic experience with Cosmos DB (NoSQL API) or other NoSQL databases

Understanding of DF Gen2 and M-code (basic to intermediate)

Exposure to CI/CD pipelines and version control (Git)

Basic knowledge of Azure services

Familiarity with Power BI integration

Strong problem-solving and analytical skills

Willingness to learn and adapt to new technologies

Good communication and collaboration skills

Ability to work effectively in a team-oriented Agile environment

Upper-intermediate proficiency in English (B2+)

Nice to have

Exposure to AI-assisted or automated code generation

Experience with Big Data concepts and distributed processing

Basic understanding of Data Science workflows

Familiarity with LLMs (e.g., GPT, Claude) or AI-enabled data use cases

Experience in financial services or data-intensive domains

Knowledge of additional Cosmos DB APIs

Apache Kafka, Azure Blob Storage, CI/CD, Data Lakehouse, ETL/ELT Solutions, MS SQL DB Development, SQL

We offer

We believe that the greatest strength of the company is its people. EPAM is fully committed to help its employees to reach their full potential and achieve their professional goals through continues learning. With this in mind, we would like to introduce to you few of the many opportunities and services which we believe will help you expand your current knowledge:

Full access to cutting-edge tools and technologies

Competitive compensation depending on experience and skills

All-around Social package: professional & soft skills training, medical & family care programs, sports

Relocation opportunities

Free English classes

Unlimited access to LinkedIn learning solutions

Continuous experience exchange with experts and professionals worldwide

Friendly team and comfortable working environment

Engineering, corporate, and social events within and outside the Company

Flexible working schedule

Opportunities for self-realization

Keywords
PythonPySparkSparkSQLAzure FabricOneLakeDelta LakeCosmos DBNoSQL APIDF Gen2M-codeCI/CDGitAzure ServicesPower BIProblem-solvingAgileData EngineeringCloud-based data platformsAzureData PipelinesIngestionTransformationAnalyticsData QualityBig DataDistributed ProcessingData ScienceLLMsData LakehouseETL/ELT SolutionsApache KafkaAzure Blob Storage

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